Mistral Large 3
MistralMistral開源權重Apache 2.0 · 商用許可
描述
Mistral Large 3 (675B Instruct 2512 Eagle) is a state-of-the-art general-purpose Multimodal granular Mixture-of-Experts model with 41B active parameters and 675B total parameters trained from scratch with 3000 H200s. This model is the base pre-trained version, not fine-tuned for instruction or reasoning tasks, making it ideal for custom post-training processes. Designed for reliability and long-context comprehension - It is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows. This model is the Eagle speculator for Mistral Large 3 Instruct. Depending on the task, you can expect noticeable speed-ups on your generations.
發布日期
2025-12-02
參數規模
675.0B
上下文長度
262K
支援模態
image, text
能力雷達圖
34
general
31
coding
43
reasoning
44
science
39
agents
85
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
43.9%自報
Code
LiveCodeBench
34.4%自報
Communication
MM-MT-Bench
84.90 / 100自報
Wild Bench
68.5%自報
Creativity
Arena Hard
55.1%自報
Factuality
SimpleQA
23.8%自報
General
MMMLU
85.5%自報
MMLU-Redux
82.0%自報
TriviaQA
74.9%自報
Math
MATH
90.4%自報
MATH (CoT)
67.6%自報
AMC_2022_23
52.0%自報
AA 評測指數
(Artificial Analysis)Math Index(Artificial Analysis)38.0
Coding Index(Artificial Analysis)20.1
Intelligence Index(Artificial Analysis)15.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.5
Aime 25(MAA (Mathematical Association of America))0.4
Scicode(UIUC + Argonne National Lab (2024))0.4
Ifbench(Google Research (2023))0.4
Lcr(Artificial Analysis)0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Terminalbench V2 10.1
Tau Banking0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Language90
Math70
Reasoning50
General50
Physics40
Biology40
Chemistry40
Code30
Factuality20
定價
輸入價格$0.5 / 1M tokens
輸出價格$1.5 / 1M tokens
混合價格(3:1)$0.75 / 1M tokens
速度
Tokens/秒55.8
首Token延遲0.71s
首回答延遲0.71s
供應商價格排行
供應商價格排行
7 個供應商
最便宜: Mistral最貴: 302.AI
供應商輸入輸出
1Mistral主要
$0.5
$1.5
2OpenRouter
$0.5
$1.5
3Kilo Gateway
$0.5
$1.5
4LLM Gateway
$0.5
$1.5
5Pioneer
$0.5
$1.5
6Cortecs
$0.557
$1.671
7302.AI
$1.1
$3.3
比較該模型在不同 API 供應商之間的定價。